LLM InfrastructureCommercial

RunPod

Serverless GPU cloud for AI inference and training

⭐ 1,200 stars● Health 70/100 — Active· commit recency (40 pts) · star momentum (30 pts) · issue ratio (20 pts) · forks (10 pts)App Infrastructure
Open in Builder →Website ↗GitHub ↗

About

On-demand serverless GPU cloud (A100, H100, RTX series) with autoscaling and per-second billing. The go-to choice for indie AI developers and teams that need GPU compute without committing to AWS or GCP reserved instances.

Choose RunPod when…

  • •You need GPU compute on demand without long-term cloud commitments
  • •You're self-hosting open-source models and need A100/H100 access
  • •You want per-second billing and autoscaling for bursty AI workloads

Builder Slot

Where do your models actually run?Required for most stacks

LLM providers and inference servers — where the actual model computation happens

Dev Tools
Not applicable
App Infra
Required
Hybrid
Required

Other tools in this slot:

OllamavLLMGroqTogether AIFireworks AIllama.cppReplicateHuggingFace+15 more

Stack Genome Detection

AIchitect's Genome scanner detects RunPod in your project via these signals:

pip packages
runpod
env vars
RUNPOD_API_KEY

Integrates with (2)

vLLMLLM Infrastructure

vLLM runs on RunPod GPU pods as a Docker container, exposing an OpenAI-compatible inference endpoint.

→ Self-hosted high-throughput LLM inference on rented GPUs — cheaper than managed APIs at scale.

Compare →
llama.cppLLM Infrastructure

llama.cpp runs on RunPod CPU/GPU pods, serving quantized models via its built-in HTTP server mode.

→ Run large quantized models on affordable RunPod instances with minimal setup overhead.

Compare →

Often paired with (1)

HuggingFace

Alternatives to consider (3)

Lambda Labscompare →Basetencompare →Modalcompare →

Pricing

ServerlessFrom $0.00014/sec
PodsFrom $0.19/hr

Recent Activity

Health ↓ 80 → 70

4 days ago

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Pricing updated

3 weeks ago

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Health ↑ 65 → 80

3 weeks ago

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Pricing updated

5 weeks ago

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Health ↑ 55 → 65

5 weeks ago

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View all activity for this tool →

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